File size: 4,896 Bytes
51f94f1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.9987187700192184,
  "eval_steps": 1000,
  "global_step": 9360,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0003205128205128205,
      "grad_norm": 5.640012741088867,
      "learning_rate": 0.0,
      "loss": 2.1128,
      "step": 1
    },
    {
      "epoch": 0.32051282051282054,
      "grad_norm": 3.1269683837890625,
      "learning_rate": 2.9775641025641028e-05,
      "loss": 1.6035,
      "step": 1000
    },
    {
      "epoch": 0.32051282051282054,
      "eval_cosine_accuracy": 0.9652960300445557,
      "eval_loss": 0.7382573485374451,
      "eval_runtime": 29.5289,
      "eval_samples_per_second": 322.024,
      "eval_steps_per_second": 1.287,
      "step": 1000
    },
    {
      "epoch": 0.6410256410256411,
      "grad_norm": 3.351823091506958,
      "learning_rate": 2.6214387464387465e-05,
      "loss": 1.0575,
      "step": 2000
    },
    {
      "epoch": 0.6410256410256411,
      "eval_cosine_accuracy": 0.9737091064453125,
      "eval_loss": 0.6786530017852783,
      "eval_runtime": 28.6588,
      "eval_samples_per_second": 331.801,
      "eval_steps_per_second": 1.326,
      "step": 2000
    },
    {
      "epoch": 0.9615384615384616,
      "grad_norm": 2.9926202297210693,
      "learning_rate": 2.2653133903133903e-05,
      "loss": 1.8049,
      "step": 3000
    },
    {
      "epoch": 0.9615384615384616,
      "eval_cosine_accuracy": 0.9739194512367249,
      "eval_loss": 0.659064531326294,
      "eval_runtime": 28.2842,
      "eval_samples_per_second": 336.195,
      "eval_steps_per_second": 1.344,
      "step": 3000
    },
    {
      "epoch": 1.2818705957719412,
      "grad_norm": 2.9942617416381836,
      "learning_rate": 1.9091880341880344e-05,
      "loss": 1.2967,
      "step": 4000
    },
    {
      "epoch": 1.2818705957719412,
      "eval_cosine_accuracy": 0.9779156446456909,
      "eval_loss": 0.6036034226417542,
      "eval_runtime": 28.3407,
      "eval_samples_per_second": 335.525,
      "eval_steps_per_second": 1.341,
      "step": 4000
    },
    {
      "epoch": 1.6021780909673287,
      "grad_norm": 2.967597723007202,
      "learning_rate": 1.553774928774929e-05,
      "loss": 1.1471,
      "step": 5000
    },
    {
      "epoch": 1.6021780909673287,
      "eval_cosine_accuracy": 0.9798086285591125,
      "eval_loss": 0.5827310681343079,
      "eval_runtime": 28.4402,
      "eval_samples_per_second": 334.35,
      "eval_steps_per_second": 1.336,
      "step": 5000
    },
    {
      "epoch": 1.9224855861627161,
      "grad_norm": 3.271042823791504,
      "learning_rate": 1.1976495726495726e-05,
      "loss": 1.0816,
      "step": 6000
    },
    {
      "epoch": 1.9224855861627161,
      "eval_cosine_accuracy": 0.9800189137458801,
      "eval_loss": 0.590634822845459,
      "eval_runtime": 28.2426,
      "eval_samples_per_second": 336.69,
      "eval_steps_per_second": 1.345,
      "step": 6000
    },
    {
      "epoch": 2.2427930813581036,
      "grad_norm": 2.800858497619629,
      "learning_rate": 8.415242165242166e-06,
      "loss": 1.0567,
      "step": 7000
    },
    {
      "epoch": 2.2427930813581036,
      "eval_cosine_accuracy": 0.9794931411743164,
      "eval_loss": 0.5923933386802673,
      "eval_runtime": 28.3839,
      "eval_samples_per_second": 335.014,
      "eval_steps_per_second": 1.339,
      "step": 7000
    },
    {
      "epoch": 2.5631005765534915,
      "grad_norm": 3.2554521560668945,
      "learning_rate": 4.853988603988604e-06,
      "loss": 1.0046,
      "step": 8000
    },
    {
      "epoch": 2.5631005765534915,
      "eval_cosine_accuracy": 0.9803344011306763,
      "eval_loss": 0.582694947719574,
      "eval_runtime": 28.4177,
      "eval_samples_per_second": 334.615,
      "eval_steps_per_second": 1.337,
      "step": 8000
    },
    {
      "epoch": 2.883408071748879,
      "grad_norm": 6.852128028869629,
      "learning_rate": 1.2998575498575498e-06,
      "loss": 1.0313,
      "step": 9000
    },
    {
      "epoch": 2.883408071748879,
      "eval_cosine_accuracy": 0.9803344011306763,
      "eval_loss": 0.5849770903587341,
      "eval_runtime": 28.7312,
      "eval_samples_per_second": 330.965,
      "eval_steps_per_second": 1.323,
      "step": 9000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 9360,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}